Evidence map›Paper›PMID 41593117›Full record

ArticleScientific reports2026

Modelling the impact of energetic electrons on electron-acoustic instabilities and HF/UHF wave propagation in the ionospheric-like plasmas.

Dorsa Ebadi, Sahar Barzegar

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Dorsa EbadiSpace Physics Department, Institute of Geophysics, University of Tehran, Tehran, Iran.
Sahar BarzegarSpace Physics Department, Institute of Geophysics, University of Tehran, Tehran, Iran. sbarzegar@ut.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies reveal that ionospheric irregularities remain poorly understood due to the lack of models and observations capable of explaining the characteristics of the observed wave structures. In this paper, the effect of energetic electrons is investigated as a driver of such irregularities. Using a particle-in-cell (PIC) simulation framework, we model a two-temperature plasma representative of disturbed ionospheric conditions during energetic electron precipitation. The simulations demonstrate that a minority population of hot electrons provides sufficient free energy to excite electron-acoustic instabilities, which evolve nonlinearly to generate broadband electrostatic fluctuations and field-aligned density structures on kilometre- to decametre-scales. Among these, the decametre-scale modes emerge as the strongest, exhibiting the highest spectral power. These irregularities, in turn, strongly influence the propagation of propagating electromagnetic waves. For high-frequency (HF) signals, the interaction produces scattering, spectral broadening, and envelope distortion, while for ultra-high-frequency (UHF) signals, the effects manifest as localized amplitude growth and amplitude modulation. Since the strongest modes are at decameter scales, they strongly distort HF waves, whose wavelengths are comparable. In contrast, UHF waves, with centimeter-scale wavelengths, interact weakly with these low-power irregularities and experience only minor effects. These results establish a direct physical pathway linking energetic electron precipitation to ionospheric irregularities and to the degradation of radio and GNSS signals. The findings provide both a kinetic-level explanation of observed degradation phenomena and a framework for improving space weather models and forecasting capabilities.

Identifiers

PMID41593117
PMCPMC12859111

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.